Mrs. Komal. S

https://doi.org/10.64823/ijter.2608005

Social entrepreneurship is becoming a vital means of responding to complex problems related to both socio-economic and environmental conditions globally. Despite the potential for social entrepreneurship to transform society and achieve the Sustainable Development Goals (SDGs), social enterprises experience numerous barriers to scale-up, resource mobilization, impact measurement and operational efficiencies. The use of Artificial Intelligence (AI) offers social enterprises potential solutions to enhance decision making; optimize resource allocation; strengthen their ability to innovate and deliver measurable social impacts. Therefore, the purpose of the current study is to investigate whether social entrepreneurs' awareness of AI capabilities influences their ability to develop transformative social entrepreneurship that achieves SDGs. The research study uses a mixed-methods design and collects primary data from registered social enterprises. A quantitative survey instrument will be used to collect data from social entrepreneurs. Quantitative data analysis will be conducted via a factor analysis and structural equation model. Qualitative data collection methods, specifically interviews with social enterprises utilizing AI technology, will be used to gather deeper insight into transformative processes. It is expected that the ability of AI to increase the agility and innovation capacity of organizations, along with measured SDG outcomes, will be significantly enhanced. However, there are anticipated financial constraints, digital skills deficits and concerns about ethics of data usage that could impede the adoption of AI technology. Findings from the research study should be useful for policymakers, social enterprise leaders and development agencies seeking ways to leverage AI technology as a catalyst for sustainable transformation.